arXiv Machine Learning July 22, 2026 By Fabian A Mikulasch, Friedemann Zenke

Understanding Self-Supervised Learning via Latent Distribution Matching

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arXiv:2605. 03517v4 Announce Type: replace Abstract: Self-supervised learning (SSL) excels at finding general-purpose latent representations from complex data, yet lacks a unifying theoretical framework that explains the diverse existing methods and guides the design of new ones.

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